Research Article
Statistical Regression based Rotation Estimation Technique of Color Image
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 102 - Issue 15 |
| Published: September 2014 |
| Authors: Joydev Hazra, Aditi Roy Chowdhury, Paramartha Dutta |
10.5120/17888-8903
|
Joydev Hazra, Aditi Roy Chowdhury, Paramartha Dutta . Statistical Regression based Rotation Estimation Technique of Color Image. International Journal of Computer Applications. 102, 15 (September 2014), 1-4. DOI=10.5120/17888-8903
@article{ 10.5120/17888-8903,
author = { Joydev Hazra,Aditi Roy Chowdhury,Paramartha Dutta },
title = { Statistical Regression based Rotation Estimation Technique of Color Image },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 102 },
number = { 15 },
pages = { 1-4 },
doi = { 10.5120/17888-8903 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Joydev Hazra
%A Aditi Roy Chowdhury
%A Paramartha Dutta
%T Statistical Regression based Rotation Estimation Technique of Color Image%T
%J International Journal of Computer Applications
%V 102
%N 15
%P 1-4
%R 10.5120/17888-8903
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper describes a rotational angle estimation of different color images. This estimation method is primarily based on weighted linear regression lines of the three color components of a color image as well as the influence of each component. Preservation of the chromatic information makes this method helpful to efficiently calculate the rotational angle between the referenced and sensed image pair. The experiments justify that the proposed method is robust ensuring its applicability to any kind of color images.
References
- L. G. Brown. A survey of image registration techniques. ACM Comput Surv, 24(4):325–376, 1992.
- B. Zitova and J. Flusser. Image registration methods: a survey. Image and Vision Computing,Elsevier, 21:977–1000, 2003.
- R. J. Althof, M. G. J. Wind, and J. T. Dobbins. A rapid and automatic image registration algorithm with subpixel accuracy. IEEE Transactions on Medical Imaging, 16:308–316, 1997.
- D. I. Barnea and H. F. Silverman. A class of algorithms for fast digital image registration. IEEE Transactions on Computing, 21:179–186, 1972.
- W. K. Pratt. Correlation techniques of image registration. IEEE Transactions on Aerospace and Electronic Systems, 10:353–358, 1974.
- D. Skerl, B. Likar, and F. Pernus. A protocol for evaluation of similarity measures for rigid registration. IEEE Transactions On Medical Imaging, 25(6), June 2006.
- J. Kim and J. A. Fessler. Intensity-based image registration using robust correlation coefficients. IEEE Transactions On Medical Imaging, 23(11), November 2004.
- Y. Keller, A. Averbuch, and M. Israeli. Pseudo polar-based estimation of large translations, rotations, and scalings in images. IEEE Trans. Image Process. , vol. 14, no. 1, pages 12–22, 2005.
- B. S. Reddy and B. N. Chatterji. An fft-based technique for translation, rotation, and scale-invariant image registration. IEEE Trans. Image Process. , vol. 5, no. 8, pages 1266–1271, 1996.
- G. Lui, J. Yan, Y. Kou, and J. Zhang. Image registration based on criteria of feature point pair mutual information. IET Image Process, 5:560–566, 2011.
- A. Goshtasby and G. C. Stockman. Point pattern matching using convex hull edges. IEEE Transactions on Systems, Man and Cybernetics, 15:631–637, 1985.
- G. Stockman, S. Kopstein, and S. Benett. Matching images to models for registration and object detection via clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 4:229–241, 1982.
- W. Feng; B. Hu; C. Yang. A subpixel color image registration algorithm using quaternion phase-only correlation. IEEE, pages 1045–1049, 2008.
- C. D. Kuglin and D. C. Hines. The phase correlation image alignment method. IEEE Conference on Cybernetics and Society, pages 163–165, 1975.
- A. Ghayoor; A. Sadri; A. Asghar; B. Shirazi. Image registration method based on physical forces for color images. Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010.
- B. D. V. Reddy and T. J. Prasad. Color image registration and template matching using quaternion phase correlation. UbiCC, 6:714–721, 2011.
- J. Hazra, A. Roy Chowdhury, and P. Dutta. An approach for determining angle of rotation of a gray image using weighted statistical regression. International Journal of Scientific and Engineering Research, pages 1006 – 1013, 2013.
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